消费者的零售购买预期和行为是如何因 COVID-19 大流行而改变的?

IF 4 Q2 BUSINESS
Dan-Cristian Dabija, Veronica Câmpian, Bernd Philipp, David B. Grant
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引用次数: 0

摘要

实施的研究调查了消费者期望和购买行为的转变。COVID-19 大流行可能是导致消费者在店内和网上购买杂货的预期和行为发生转变的原因。如果说在大流行病实施限制之前,消费者几乎只喜欢在实体店购物,那么由于卫生限制、社会距离、大流行病引发的恐惧、购物时的确定性以及同伴间互动的减少,许多消费者可能已经改变了他们的偏好、预期和消费购买行为。所实施的研究从顾客如何决定购买杂货以应对 COVID-19 大流行的影响角度,调查了大流行后消费者预期和购买行为的变化。在现有文献的基础上,提出了一个概念模型,并使用智能 PLS 结构方程模型对罗马尼亚消费者的定量调查进行了分析。研究结果表明,大流行病发生后,转换行为对消费者的购买行为产生了重大影响,但并不决定消费者的购买行为。从理论角度看,本研究拓展了对保护动机理论(PMT)的理解和应用。从管理角度来看,本研究为管理者提供了一个更清晰的消费者购买行为图景,以及消费者购买行为因 COVID-19 大流行而改变的程度。作者所涉及的与大流行病相关的研究问题在我们的管理学科中并没有悠久的传统,同样,我们的研究也是分阶段进行的,即在 COVID-19 危机之前、期间和之后。据我们所知,这是首次尝试使用与 COVID-19 和零售业消费者购买行为相关的转换概念。在制定我们的研究模型时,主要的挑战包括必须融合传统的零售和供应链管理文献流。事实上,物流学术界传统上侧重于 B2B 环境,而我们的研究则反映了一种以消费者为中心的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

How did consumers retail purchasing expectations and behaviour switch due to the COVID-19 pandemic?

How did consumers retail purchasing expectations and behaviour switch due to the COVID-19 pandemic?

The implemented research investigates the switch in consumer expectations and purchasing. The COVID-19 pandemic may have been the cause for a switch in consumer expectations and behaviour with respect to in-store versus online grocery purchases. If consumers preferred to shop almost exclusively in physical stores before pandemic-imposed restrictions, many consumers may have changed their preferences, expectations and consumer purchasing behaviour due to sanitary restrictions, social distancing, pandemic-induced fear, certainty when shopping and reduced peer interactions. The implemented research investigates the switch in consumer expectations and purchasing behaviour after the pandemic in terms of how customers decide to buy groceries in response to the impact of the COVID-19 pandemic. Based on the extant literature, a conceptual model is proposed, and a quantitative survey of Romanian consumers analysed using Smart PLS structural equation modelling. The findings indicate that switching behaviour exerted a significant influence on consumer purchasing behaviour after the pandemic but did not determine it. From a theoretical standpoint, this study expands the understanding and application of the Protection Motivation Theory (PMT). From a managerial standpoint, this study offers managers a clearer picture of consumer purchasing behaviour, and the extent of altered consumer purchasing behaviour as a result of the COVID-19 pandemic. Pandemic-related research issues as addressed by the authors do not have a long-standing tradition within our management discipline, and the same observation is true regarding the phased levels of our investigation, i.e., before, during and after (the COVID-19 crisis) as performed in our study. This is, to the best of our knowledge, the first attempt to use a switch concept related to COVID-19 and consumer purchasing behaviour in retail. When elaborating our research model, the main challenges included the necessity to blend traditional retail and SCM literature streams. Indeed, logistics academia traditionally focuses on B2B settings, whereas our research reflects a consumer-centric approach.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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